Does $k$ -Anonymous Microaggregation Affect Machine-Learned Macrotrends?

Autor: Ana Rodriguez-Hoyos, Jose Estrada-Jimenez, David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forne

Publikováno v: IEEE Access, Vol 6, Pp 28258-28277 (2018)

In the era of big data, the availability of massive amounts of information makes privacy protection more necessary than ever. Among a variety of anonymization mechanisms, microaggregation is a common approach to satisfy the popular requirement of k-a

Externí odkaz: https://doaj.org/article/b7d3564e43bc46c8a1af011073136975

The Fast Maximum Distance to Average Vector (F-MDAV): an algorithm for k-Anonymous microaggregation in big data

Autor: Ana Rodriguez-Hoyos, David Rebollo-Monedero, Javier Parra-Arnau, José Estrada-Jiménez, Jordi Forné, Ahmad Mohamad Mezher

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The massive exploitation of tons of data is currently guiding critical decisions in domains such as economics o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98859567498a0e27efaf649c77ad3ea6
https://hdl.handle.net/2117/178139

Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets

Autor: José Estrada-Jiménez, Ahmad Mohamad Mezher, Ana Rodriguez-Hoyos, Esteve Pallares, David Rebollo-Monedero, Jordi Forné

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The technical contents of this work fall within the statistical disclosure control (SDC) field, which concerns

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ccc67b188c608bb48cde099e30414a7
http://hdl.handle.net/2117/173796

Digital hyper-transparency: leading e-government against privacy

Autor: José Estrada-Jiménez, Ana Rodriguez-Hoyos, Luis Urquiza-Aguiar, Jordi Forné, Javier Parra-Arnau

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839858978dfd859f9b754b1b355198b3
https://hdl.handle.net/2117/120546

Does k-anonymous microaggregation affect machine-learned macrotrends?

Autor: Ana Rodriguez-Hoyos, Jose Estrada-Jimenez, David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forne

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
IEEE Access, Vol 6, Pp 28258-28277 (2018)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

In the era of big data, the availability of massive amounts of information makes privacy protection more necessary than ever. Among a variety of anonymization mechanisms, microaggregation is a common approach to satisfy the popular requirement of k-a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::89439157a20159da495a74d1e0eea468
http://hdl.handle.net/2117/121730